#!/usr/bin/env python3

import re
import os
import io
from setuptools import setup, find_packages


# Get version
def read(*names, **kwargs):
    with io.open(
        os.path.join(os.path.dirname(__file__), *names),
        encoding=kwargs.get("encoding", "utf8")
    ) as fp:
        return fp.read()


def find_version(*file_paths):
    version_file = read(*file_paths)
    version_match = re.search(r"^__version__ = ['\"]([^'\"]*)['\"]",
                              version_file, re.M)
    if version_match:
        return version_match.group(1)
    raise RuntimeError("Unable to find version string.")


readme = open("README.md").read()
version = find_version("gpytorch", "__init__.py")


torch_min = "1.1"
install_requires = [">=".join(["torch", torch_min])]
# if recent dev version of PyTorch is installed, no need to install stable
try:
    import torch
    if torch.__version__ >= torch_min:
        install_requires = []
except ImportError:
    pass


# Run the setup
setup(
    name="gpytorch",
    version=version,
    description="An implementation of Gaussian Processes in Pytorch",
    long_description=readme,
    long_description_content_type="text/markdown",
    author="Jake Gardner, Geoff Pleiss",
    url="https://gpytorch.ai",
    author_email="jrg365@cornell.edu, gpleiss@gmail.com",
    project_urls={
        "Documentation": "https://gpytorch.readthedocs.io",
        "Source": "https://github.com/cornellius-gp/gpytorch/",
    },
    license="MIT",
    classifiers=["Development Status :: 4 - Beta", "Programming Language :: Python :: 3"],
    packages=find_packages(),
    python_requires=">=3.6",
    install_requires=install_requires,
    extras_require={
        "dev": [
            "black",
            "twine",
        ],
        "docs": [
            "ipython",
            "ipykernel",
            "sphinx",
            "sphinx_rtd_theme",
            "nbsphinx",
            "m2r",
        ],
        "examples": [
            "ipython",
            "jupyter",
            "matplotlib",
            "scipy",
            "torchvision",
        ],
        "pyro": [
            "pyro-ppl>=0.3.0",
        ],
        "test": [
            "flake8",
            "flake8-print",
        ]
    },
)
